{"id":"W4239010301","doi":"10.4095/301195","title":"Climate Warming - Global Summer Precipitation Scenario: 2100","year":2010,"lang":"en","type":"report","venue":"","topic":"Climate Change and Environmental Impact","field":"Environmental Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Climatology; Precipitation; Environmental science; Climate simulation; Global warming; Climate change; Meteorology; Climate model; Atmospheric sciences; Geography; Oceanography; Geology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004382338,0.001146331,0.0005689375,0.0004582127,0.0003759341,0.0005084075,0.0007221744,0.0006432658,0.006120324],"category_scores_gemma":[0.0004524014,0.0003351021,0.0006717776,0.001090932,0.0001802197,0.0006625206,0.000373905,0.0006678664,0.002810621],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001727441,"about_ca_system_score_gemma":0.001792307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.065716,"about_ca_topic_score_gemma":0.06435067,"domain_scores_codex":[0.9998626,0.00004243619,0.00000494144,0.00001994283,0.0000330957,0.00003703314],"domain_scores_gemma":[0.9999061,0.000007723119,0.000008980128,0.000006885336,0.00004547457,0.00002480155],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.002758036,0.0005121655,0.04731074,0.001127057,0.0007788825,0.0009399302,0.0001342702,0.488277,0.003138551,0.01265149,0.4109381,0.03143371],"study_design_scores_gemma":[0.004468923,0.00130868,0.2167944,0.0003327332,0.0008366247,0.000985742,0.0006558228,0.3626423,0.009017827,0.01210252,0.3905794,0.0002750349],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"dataset","genre_gemma":"empirical","genre_scores_codex":[0.3403589,0.001595441,0.006609521,0.002463622,0.001292412,0.0005393656,0.571959,0.001369837,0.07381194],"genre_scores_gemma":[0.6294271,0.001780543,0.01132087,0.0007985967,0.0001128464,0.001073237,0.3422962,0.0002401374,0.01295046],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.065716,"threshold_uncertainty_score":0.130667,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0615485375567858,"score_gpt":0.329319430734285,"score_spread":0.2677708931774992,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}